{"title":"Optimal distribution of the influenza vaccine","authors":"Osman Y. Özaltın, Özden O. Dalgic, F. Erenay","doi":"10.1109/WSC.2014.7019995","DOIUrl":"https://doi.org/10.1109/WSC.2014.7019995","url":null,"abstract":"Influenza is a serious public health concern and vaccination is the first line of defense. In a pandemic, individuals are prioritized based on their risk profiles and transmission rates to ensure effective use of the available vaccine. We use an agent-based stochastic simulation model, and optimize the age-specific vaccine distribution strategy. We use black-box optimization techniques to minimize the overall cost of the outbreak. Our numerical experiments show that the best policy returned by our approach outperforms alternative policies recommended by the Advisory Committee on Immunization Practices and Centers for Disease Control and Prevention.","PeriodicalId":446873,"journal":{"name":"Proceedings of the Winter Simulation Conference 2014","volume":"180 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133550071","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"On the importance of optimizing in scheduling: The photolithography workstation","authors":"Abdoul Bitar, S. Dauzére-Pérés, C. Yugma","doi":"10.1109/WSC.2014.7020100","DOIUrl":"https://doi.org/10.1109/WSC.2014.7020100","url":null,"abstract":"This paper analyzes the impact of scheduling decisions on the capacity of a semiconductor manufacturing workstation. The study was conducted on real industrial data of a well-known bottleneck workstation, namely photolithography, which includes various complex constraints. The results of our numerical experiments show the importance of an effective optimization algorithm and how it impacts capacity, i.e. the cycle times of lots and thus the ability to schedule more lots. Additional computational results illustrate that, when the problem complexity is reduced by ignoring setup times, the impact of determining optimized schedules is also reduced.","PeriodicalId":446873,"journal":{"name":"Proceedings of the Winter Simulation Conference 2014","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131807307","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Simulation-based flexibility analysis of vehicle dispatching problem on a container terminal with GPS tracking data","authors":"Wenhe Yang, S. Takakuwa","doi":"10.1109/WSC.2014.7020025","DOIUrl":"https://doi.org/10.1109/WSC.2014.7020025","url":null,"abstract":"To provide better services for shipping companies and to increase profits, improving the operation equipment efficiency and reducing the ship dwelling time at the terminal is an important problem for port companies. Port management information system and information technology is widely used for supporting and controlling the terminal operation, which can track the operation data simultaneously. In this study, a simulation model is constructed using historical Global Positioning System tracking data and analyzed for application to the shipping industry. For improving handling equipment efficiency, flexibility analysis is performed for the trailers that served gantry cranes for ship operation (container loading and unloading processes) by comparing the different dispatching scenarios after performing the simulation. The proposed procedure to construct simulation models of container terminal was found to be both practical and powerful.","PeriodicalId":446873,"journal":{"name":"Proceedings of the Winter Simulation Conference 2014","volume":"203 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115025735","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Match-Ladder: An efficient event matching algorithm in large-scale content-based publish/subscribe system","authors":"M. Xu, Pin Lv, Haibo Wang","doi":"10.1109/WSC.2014.7019952","DOIUrl":"https://doi.org/10.1109/WSC.2014.7019952","url":null,"abstract":"To resolve high-performance content-based event matching problem for large-scale publish/subscribe systems, we have focused on how to use some priori knowledge to improve the efficiency. In this paper, by theoretically analyzing the inherent problem of the matching order of predicates, we propose a matching algorithm called Match-Ladder which based on the best matching order. The Match-Ladder can achieve better trade-off between time efficiency and the usage of memory space. It has been verified through both mathematical and simulation-based evaluation.","PeriodicalId":446873,"journal":{"name":"Proceedings of the Winter Simulation Conference 2014","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114248543","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Comparing the performance of two different customer order behaviors within the hierarchical production planning","authors":"Thomas Felberbauer, K. Altendorfer","doi":"10.1109/WSC.2014.7020066","DOIUrl":"https://doi.org/10.1109/WSC.2014.7020066","url":null,"abstract":"A hierarchical production planning structure enables manufacturing systems to handle customer disturbances with different measures on different planning levels. Two different kinds of customer order behavior can be observed and are as well discussed in literature. In the first, being forecast-evolution-behavior, customers provide a forecast quantity for a specific due date for a long horizon in advance and update their forecast quantities periodically. In the second, being customer-required-lead-time-behavior, customers demand stochastic order amounts with a customer-required-lead-time whereby the manufacturing company generates an aggregated forecast, e.g. for product groups. These required lead times are usually shorter than the forecast-evolution-horizon, but order quantities do not further change. For comparing the influence of both order behaviors on a hierarchical production planning system, a simulation study is performed in which logistic performance measures such as service-level, utilization, capacity-, inventory- and tardiness-costs are analyzed with respect to a normalized forecast quality measure.","PeriodicalId":446873,"journal":{"name":"Proceedings of the Winter Simulation Conference 2014","volume":"2014 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114444763","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pegah Pooya, J. Ivy, L. Mazur, K. Deschesne, P. Mosaly, G. Tracton, Nishant Singh
{"title":"Assessing the reliability of the Radiation Therapy care delivery process using discrete event simulation","authors":"Pegah Pooya, J. Ivy, L. Mazur, K. Deschesne, P. Mosaly, G. Tracton, Nishant Singh","doi":"10.5555/2693848.2694008","DOIUrl":"https://doi.org/10.5555/2693848.2694008","url":null,"abstract":"This paper presents a discrete event simulation-based analysis of the Radiation Therapy (RT) care delivery process at the Radiation Oncology Center of the University of North Carolina (UNC) at Chapel Hill with the goal of assessing process reliability and patient safety. The use of quality assurance (QA) checklists in radiation oncology is a widely recognized method for detecting potential human and non-human errors before they reach the patient. In this study, data on patient safety events (“an incident that reached the patient, whether or not the patient was harmed”) and near misses (“an incident that comes close to reaching the patient but is caught and corrected beforehand”) were collected through a comprehensive safety program and used to estimate incident rates and the reliability score for each QA checklist.","PeriodicalId":446873,"journal":{"name":"Proceedings of the Winter Simulation Conference 2014","volume":"115 23","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113940679","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Inventory survival analysis for semiconductor memory manufacturing","authors":"Jei-Zheng Wu, Hui-Chun Yu, Chen-Fu Chien","doi":"10.1109/WSC.2014.7020103","DOIUrl":"https://doi.org/10.1109/WSC.2014.7020103","url":null,"abstract":"The high variety of and intermittent demand for semiconductor memory products frequently limits the use of forecast error normalization in estimating inventory. Inventory turnover is a practical performance indicator that is used to calculate the number of days for which a company retains inventory before selling a product. Although previous studies on inventory level settings have primarily applied information regarding demand variability and forecast error, few studies have investigated the inventory turnover for inventory decisions. Inventory turnover data are time scaled, suited for a small sample, and right censored to fit the input of survival analysis. In this study, a model in which inventory turnover and survival analysis were integrated was developed to estimate the production inventory survival function used to determine inventory level. Data analysis results based on real settings indicated the viability of using inventory survival analysis to determine semiconductor memory inventory level settings.","PeriodicalId":446873,"journal":{"name":"Proceedings of the Winter Simulation Conference 2014","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115794618","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A hybrid simulation approach to dynamic multi-skilled workforce planning of production line","authors":"Yuan Feng, Wenhui Fan","doi":"10.1109/WSC.2014.7020014","DOIUrl":"https://doi.org/10.1109/WSC.2014.7020014","url":null,"abstract":"Workers cross-trained with multiple tasks can improve the workforce flexibility for the plant to handle variations in workload. Therefore, it is necessary to study the dynamic multi-skilled workforce planning problem of production line with the application of cross-training method. The conclusion is helpful to economize the cost of human resources when workload is low and enhance the productivity in the opposite case. This paper studies the dynamic multi-skilled workforce planning problem by exploring the effect of worker pool size and cross-training level on the performance of production line through simulation. A hybrid simulation model is built as the platform to study this problem with Discrete-event Simulation (DES) method and Agent-based Simulation (ABS) method. Besides, the effect of worker learning and forgetting is inevitably considered accompanied with the introduction of cross-training method and its impact on production line will be illustrated.","PeriodicalId":446873,"journal":{"name":"Proceedings of the Winter Simulation Conference 2014","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123100946","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The future of computerized decision making","authors":"B. Elmegreen, S. Sanchez, A. Szalay","doi":"10.1109/WSC.2014.7019954","DOIUrl":"https://doi.org/10.1109/WSC.2014.7019954","url":null,"abstract":"Computerized decision making is becoming a reality with exponentially growing data and machine capabilities. Some decision making is extremely complex, historically reserved for governing bodies or market places where the collective human experience and intelligence come to play. Other decision making can be trusted to computers that are on a path now into the future through novel software development and technological improvements in data access. In all cases, we should think about this carefully first: what data are really important for our goals and what data should be ignored or not even stored? The answer to these questions involves human intelligence and understanding before the data-to-decision process begins.","PeriodicalId":446873,"journal":{"name":"Proceedings of the Winter Simulation Conference 2014","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123472421","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Simulation of low-volume mixed model assembly lines: Modeling aspects and case study","authors":"Timm Ziarnetzky, L. Mönch, Alexander Biele","doi":"10.1109/WSC.2014.7020055","DOIUrl":"https://doi.org/10.1109/WSC.2014.7020055","url":null,"abstract":"In this paper, we consider the modeling and simulation of low-volume mixed model assembly lines that can be found in the aerospace industry. Low-volume mixed model assembly processes are characterized by a large amount of tasks to be manually performed, buffer space constraints, specialized resources like jigs and tools, and a large number of external suppliers. The main principles of modeling and simulating such manufacturing systems are discussed. Based on a domain analysis, the major building blocks of simulation models for low-volume mixed model assembly lines are derived. We exemplify their implementation using the commercial discrete-event simulation tool AutoSched AP. As an application of these building blocks, we analyze the cabin installation process in a final assembly line in aircraft production using discrete-event simulation.","PeriodicalId":446873,"journal":{"name":"Proceedings of the Winter Simulation Conference 2014","volume":"104 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122536736","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}